Optimized application of GIS and CGA in transportation path planning of open-pit mines

Inhalt:
paper comprehensively considers the factors such as road elevation, road slope, road quality and truck driving speed, combines dynamic time-varying transport power with static transport distance, and establishes a truck transportation path planning model for open-pit mines. Firstly, ArcGIS software is used as the geographic information collection and analysis platform for open-pit mine path selection. Then, the cellular genetic algorithm (CGA) is used to solve the problem when the loading point and unloading point are known, and the invisible migration mechanism is introduced in the genetic algorithm. Finally, a large limestone mine in Wuhan is taken as an example to verify the algorithm. The results show that compared with the traditional genetic algorithm, the cellular genetic algorithm has better global optimization ability and better transportation path, which verifies the feasibility and effectiveness of the cellular genetic algorithm for solving the transportation path problem of open-pit mines.